| Constructing a multi-hop QA dataset for comprehensive evaluation of reasoning steps X Ho, AKD Nguyen, S Sugawara, A Aizawa Proceedings of the 28th International Conference on Computational Linguistics, 2020 | 210 | 2020 |
| A survey on measuring and mitigating reasoning shortcuts in machine reading comprehension X Ho, JM Meissner, S Sugawara, A Aizawa arXiv preprint arXiv:2209.01824, 2022 | 8 | 2022 |
| A survey of pre-trained language models for processing scientific text X Ho, AKD Nguyen, AT Dao, J Jiang, Y Chida, K Sugimoto, HQ To, ... arXiv preprint arXiv:2401.17824, 2024 | 7 | 2024 |
| Analyzing the effectiveness of the underlying reasoning tasks in multi-hop question answering X Ho, AKD Nguyen, S Sugawara, A Aizawa Findings of the Association for Computational Linguistics: EACL 2023, 2023 | 6 | 2023 |
| MoreHopQA: More Than Multi-hop Reasoning J Schnitzler, X Ho, J Huang, F Boudin, S Sugawara, A Aizawa arXiv preprint arXiv:2406.13397, 2024 | 1 | 2024 |
| Solving Label Variation in Scientific Information Extraction via Multi-Task Learning D Pham, X Ho, QT Ha, A Aizawa Proceedings of the 37th Pacific Asia Conference on Language, Information and …, 2023 | 1 | 2023 |
| How Well Do Multi-hop Reading Comprehension Models Understand Date Information? X Ho, S Sugawara, A Aizawa AACL | IJCNLP, 2022 | 1 | 2022 |
| Enhancing Collaborative Variational Autoencoder with Tag and Citation Information for Scientific Article Recommendation X Ho, A Aizawa Faculty of Information Science and Electrical Engineering, Kyushu University …, 2018 | | 2018 |
| Film2Vec–A Feature-based Film Distributed Representation for Rating Prediction X Ho, NTH Nguyen | | 2017 |
